iPad Pro 11-inch (2nd generation)
Geekbench AI Score
711
Single Precision Score
2382
Half Precision Score
434
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
345
64.2 IPS |
|
|
Image Classification (HP)
|
100% |
2085
387.8 IPS |
|
|
Image Classification (Q)
|
99% |
156
29.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2177
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
27270
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1526
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
1326
105.1 IPS |
|
|
Object Detection (Q)
|
94% |
187
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6495
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1044
8.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
24942
192.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
597
4.66 IPS |
|
|
Style Transfer (SP)
|
100% |
3565
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3534
4.54 IPS |
|
|
Style Transfer (Q)
|
96% |
2547
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3255
120.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
468
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
259
346.1 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.1 IPS |
|
|
Text Classification (Q)
|
93% |
296
396.7 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.50 IPS |
|
|
Machine Translation (Q)
|
98% |
376
6.49 IPS |
